The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach
Abstract
This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It introduces and employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates by averaging OLS coefficients across models. The weights given to individual regressions have a Bayesian justification similar to the Schwarz model selection criterion. Of 67 explanatory variables we find 18 to be significantly and robustly partially correlated with long-term growth and another three variables to be marginally related. The strongest evidence is for the relative price of investment, primary school enrollment, and the initial level of real GDP per capita.
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Cites
Economic Reform and the Process of Global Integration
Sachs, J. D., Warner, A., Aslund, A., & Fischer, S. (1995) · Brookings Papers on Economic Activity · doi:10.2307/2534573 · Cited by 4,950
Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999) · Statistical Science · doi:10.1214/ss/1009212519 · Cited by 4,118
Variable Selection via Gibbs Sampling
George, E. I., & McCulloch, R. E. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476353 · Cited by 2,828
I Just Ran Four Million Regressions
Sala-i-Martin, X. (1997) · doi:10.3386/w6252 · Cited by 960
Prediction via Orthogonalized Model Mixing
Clyde, M., Desimone, H., & Parmigiani, G. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476989 · Cited by 145
York, J., Madigan, D., Heuch, I., & Lie, R. T. (1995) · Applied Statistics · doi:10.2307/2986347 · Cited by 52
Cited by
Does financial liberalization spur growth?
BEKAERT, G., HARVEY, C., & LUNDBLAD, C. (2005) · Journal of Financial Economics · doi:10.1016/j.jfineco.2004.05.007 · Cited by 2,012
The burden and costs of chronic diseases in low-income and middle-income countries.
Abegunde, D. O., Mathers, C. D., Adam, T., Ortegon, M., & Strong, K. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61696-1 · Cited by 1,603
Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth
Bazzi, S., & Clemens, M. A. (2013) · American Economic Journal: Macroeconomics · doi:10.1257/mac.5.2.152 · Cited by 640
Entrepreneurship, institutional economics, and economic growth: an ecosystem perspective
Acs, Z. J., Estrin, S., Mickiewicz, T., & Szerb, L. (2018) · Small Business Economics · doi:10.1007/s11187-018-0013-9 · Cited by 582
Demographic Change and Economic Growth in Asia
BLOOM, D. E., & FINLAY, J. E. (2009) · Asian Economic Policy Review · doi:10.1111/j.1748-3131.2009.01106.x · Cited by 434
Metadata
- Authors
- Sala-i-Martin, X., Doppelhofer, G., & Miller, R. I.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2004-09-01
- Volume
- 94
- Issue
- 4
- Pages
- 813-835
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3124636723
- Cited by
- 2,112
- References
- 6
- FWCI
- 180.16
- Type
- journal article
- Language
- en
- Open access
- closed
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